Evidence map›Paper›PMID 38010703›Full record

ArticleMolecular oncology2024

Identification of protein biomarkers for prediction of response to platinum-based treatment regimens in patients with non-small cell lung cancer.

Franziska Böttger, Teodora Radonic, Idris Bahce, Kim Monkhorst, Sander R Piersma, Thang V Pham, Anne-Marie C Dingemans, Lisa M Hillen, Mariacarmela Santarpia, Elisa Giovannetti and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Clinical application and drug resistance mechanism of gemcitabine.Frontiers in cell and developmental biology · 2025
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 3 countries.

Franziska BöttgerDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC - location VUmc, The Netherlands.ORCID 0000-0001-8364-4087
Teodora RadonicDepartment of Pathology, Amsterdam UMC - location VUmc, The Netherlands.
Idris BahceDepartment of Pulmonary Diseases, Amsterdam UMC - location VUmc, The Netherlands.
Kim MonkhorstDivision of Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Sander R PiersmaDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC - location VUmc, The Netherlands.
Thang V PhamDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC - location VUmc, The Netherlands.
Anne-Marie C DingemansDepartment of Pulmonary Diseases, GROW School for Oncology & Developmental Biology, Maastricht University Medical Center, The Netherlands.
Lisa M HillenDepartment of Pathology, Maastricht University Medical Center, The Netherlands.ORCID 0000-0002-8808-4952
Mariacarmela SantarpiaMedical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Italy.
Elisa GiovannettiDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC - location VUmc, The Netherlands.
Egbert F SmitDivision of Thoracic Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Sjaak A BurgersDivision of Thoracic Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Connie R JimenezDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC - location VUmc, The Netherlands.ORCID 0000-0002-3103-4508
Oncode Institute · NLAmsterdam University Medical Centers · NLMaastricht University Medical Centre · NLThe Netherlands Cancer Institute · NLFondazione Pisa · ITLeiden University Medical Center · NLUniversity of Messina · IT

Funding

Associazione Italiana per la Ricerca sul Cancro (AIRC) 24444KWF Kankerbestrijding 2014-6816The Netherlands Organization for Scientific Research 91116017VUmc-Cancer Center Amsterdam
6 · The paper itself

Abstract

The majority of patients with resected stage II-IIIA non-small cell lung cancer (NSCLC) are treated with platinum-based adjuvant chemotherapy (ACT) in a one-size-fits-all approach. However, a significant number of patients do not derive clinical benefit, and no predictive patient selection biomarker is currently available. Using mass spectrometry-based proteomics, we have profiled tumour resection material of 2 independent, multi-centre cohorts of in total 67 patients with NSCLC who underwent ACT. Unsupervised cluster analysis of both cohorts revealed a poor response/survival sub-cluster composed of ~ 25% of the patients, that displayed a strong epithelial-mesenchymal transition signature and stromal phenotype. Beyond this stromal sub-population, we identified and validated platinum response prediction biomarker candidates involved in pathways relevant to the mechanism of action of platinum drugs, such as DNA damage repair, as well as less anticipated processes such as those related to the regulation of actin cytoskeleton. Integration with pre-clinical proteomics data supported a role for several of these candidate proteins in platinum response prediction. Validation of one of the candidates (HMGB1) in a third independent patient cohort using immunohistochemistry highlights the potential of translating these proteomics results to clinical practice.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsAgedCohort StudiesFemaleHMGB1 ProteinHumansMaleMiddle AgedPlatinumProteomicsBiomarkers, TumorHMGB1 ProteinHMGB1 protein, humanPlatinumadjuvant chemotherapybiomarkerlung cancermass‐spectrometryplatinumproteomics

Identifiers

PMID38010703
PMCPMC11161729
OpenAlexW4389069030

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.